Surrounding Rock Stability Control Technology of Roadway in Large Inclination Seam with Weak Structural Plane in Roof

Wu, Peng; Chen, Liang; Li, Ming; Wang, Lan; Wang, Xufeng; Zhang, Wei

doi:10.3390/min11080881

Cited by 11 publications

(6 citation statements)

References 25 publications

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“…The relationship between the occurrence of main weak structural plane and the tunnel axis has a certain influence on the surrounding rock stability 53 , 54 . This parameter is a crucial indictor in the design of tunnel in the active area of neotectonic movement.…”

Section: Predictive Analysis and Data Set Descriptionmentioning

confidence: 99%

A probability prediction method for the classification of surrounding rock quality of tunnels with incomplete data using Bayesian networks

et al. 2022

Sci Rep

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The classification of surrounding rock quality is critical for the dynamic construction and design of tunnels. However, obtaining complete parameters for predicting the surrounding rock grades is always challenging in complex tunnel geological environment. In this study, a new method based on Bayesian networks is proposed to predict the probability for the classification of surrounding rock quality of tunnel with incomplete data. A database is collected with 286 cases in 10 tunnels, involving nine parameters: rock hardness, weathering degree, rock mass integrity, rock mass structure, structural plane integrity, in-situ stress, groundwater, rock basic quality, and surrounding rock level. Moreover, the Bayesian network structure is built using the collected database and quantitatively verified by strength analysis. Then, the accuracy, precision, recall, F-measure and receiver operating characteristic (ROC) curves are utilized for model evaluation. The average values of accuracy, precision, recall, F-measure, and area under the curve (AUC) are approximately 89.2%, 91%, 92%, 91%, and 0.98, respectively. These results indicate that the established classification model has high accuracy, even with small sample size and imbalanced samples. Ten additional sets of tunnel cases (incomplete data) are also used for verification. The results reveal that compared with the traditional Q-system (Q) and rock mass rating (RMR) classification methods, the proposed classification model has the lowest error rate and is capable of using incomplete data to predict sample results. Finally, sensitivity analysis suggests that the rock hardness and rock mass integrity have the strongest impact on the quality of tunnel surrounding rock. Overall, the findings of this study can serve as a useful reference for future rock mass quality evaluation in tunnels, underground powerhouses, slopes, etc.

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Section: Predictive Analysis and Data Set Descriptionmentioning

confidence: 99%

A probability prediction method for the classification of surrounding rock quality of tunnels with incomplete data using Bayesian networks

et al. 2022

Sci Rep

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“…Different muck slash was selected according to the technical and economic indicators, such as the ore recovery ratio. The stability of the stope bottom structure was analyzed from the surrounding rock of the bottom structure, the support of the roadway, and the interaction between ore and rock [24][25][26][27][28][29][30][31]. However, studies on the bottom structure of the sublevel stoping with the delayed backfill method are limited, and the parameter optimization of the extracted ore drift is also less involved.…”

Section: Introductionmentioning

confidence: 99%

Optimization and Stability of the Bottom Structure Parameters of the Deep Sublevel Stope with Delayed Backfilling

et al. 2022

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This study analyzes the stability and optimizes the parameters of the bottom structure in sublevel stoping with the delayed backfilling method, improves production efficiency, and increases the ore recovery ratio under the premise of ensuring safe production. Theoretical formulas are used to calculate the stability of the pillar with the bottom structure. Numerical simulation is used to study the stability of muck slash during excavation. Finally, the optimization parameters of the bottom structure are obtained by combining a similar physical experimental model and numerical simulation. The results show that the excavation of the muck slash caused different degrees of deformation at the roof and floor of the roadway. The largest stress occurred at the roadway crossing, whereas the smallest stress was in the middle area. The excavation also caused the secondary stress concentration at the adjacent bottom structure but did not significantly impact its stability. During the mining process, the largest displacement deformation occurred at the roadway crossing, and the influence of mining disturbance on the stability of the bottom structure involves timeliness and periodicity. Considering the recovery ratio, dilution ratio, and stability, the spacing of the extracted ore drift is recommended to be 9 m. This study ensures the stability of the bottom structure in the mining process and obtained reasonable parameters of the extracted ore drift, which provides a scientific way for the mines that use sublevel stoping with the delayed backfilling method.

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“…Because large deformation or flowing deformation of the surrounding rock can lead to the failure of the roadway and the working environment becomes unsafe, coal mining is not able to continue. Thus, numerous investigations on the stability control technology and support schemes of the surrounding rock of coal mine roadways were performed by researchers and engineers, and lots of beneficial correction theories and technologies were also proposed by them, such as full-stress anchoring technology and bolt support [10][11][12][13][14]. However, relatively few studies on hybrid full-space synergy technology and the application of bolts based on the orthogonal experimental method have been launched for the roadway optimization design of mining fields in deep soft rock.…”

Section: Introductionmentioning

confidence: 99%

Analytical Approach Based on Full-Space Synergy Technology to Optimization Support Design of Deep Mining Roadway

Zhang

Yin

2022

Minerals

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The stability of surrounding rock is the basic guarantee of underground space engineering safety. The large deformation of a roadway’s surrounding rock is a very common phenomenon during the underground excavation of coal mine roadways or coal mining, especially in deep soft rock mining roadways. With the increase in mining depth and mining stress, it is very important to prevent disasters caused by surrounding rock deformation. This work aims to conduct an optimization design of roadway support for deep soft rock in coal mines using a full-space synergy control technology. FLAC3D-based orthogonal numerical experiments are adopted to study the influence of bolt parameters and plastic yield zone variation on the deformation of roadway surrounding rock, which provides a basis for optimizing the support design of coal mine roadways. According to the results of the numerical analysis, the optimal support parameters are determined as 20 mm, 2.2 m and 700–900 mm for diameter, length and interval of the bolt, respectively. Finally, the determined bolt-shotcrete net beam support scheme from the full-space synergy control idea is used in a study case. Results illustrate that this study can provide reliable guidance for the stability control of deep soft rock roadways in mining fields under high stress, and it can work well to keep the surrounding rock deformation within the safe limits.

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Surrounding Rock Stability Control Technology of Roadway in Large Inclination Seam with Weak Structural Plane in Roof

Cited by 11 publications

References 25 publications

A probability prediction method for the classification of surrounding rock quality of tunnels with incomplete data using Bayesian networks

A probability prediction method for the classification of surrounding rock quality of tunnels with incomplete data using Bayesian networks

Optimization and Stability of the Bottom Structure Parameters of the Deep Sublevel Stope with Delayed Backfilling

Analytical Approach Based on Full-Space Synergy Technology to Optimization Support Design of Deep Mining Roadway

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